Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16ED2D7769140173B4297C2C97366B72DA2E7824DCB85081693FD8B6E1BE7E40DD3386B |
|
CONTENT
ssdeep
|
768:QSXy5NgiAmbjqKDvghBbKNXgFYV7M9VCoblks/7sOy2+y9BH4crIe:glbjqKDvgeo9VCox/7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd12d06dc482 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49c3c3cc4ce600 |
|
VISUAL
wHash
|
80ed71003c04ffff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
208080106c888000,14094bc3c3cccce6 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 8 techniques to evade detection by security scanners and make reverse engineering more difficult.